Background
The export amount of China cross-border B2C e-commerce merchants exceeds 400 billion US dollars. This industry has a lengthy value chain and a long cash turnover period. It is difficult for the merchants to get access to finance; whereas traditional financial institutions are not able to develop their credit business into this e-commerce merchants’ market. Due to traditional business models such as collateral requirement and a lengthy credit process, the proportion of banks’ loans allocated towards the merchants remains low.
Strategy
AIFT is continuously improving the e-commerce financing ecosystem, using four-dimensional data analysis and integration technology, adopting the cutting-edge algorithms, integrating traditional risk control methods, crafting target-oriented AI technology, providing a full range of e-commerce value chain financial products.
Solution
AIFT provides a platform as a business ecosystem for stakeholders in the value chain of cross-border e-commerce finance, including banks, logistics firms and payment firms. The sales proceeds in this e-commerce platform and cash deposits in payment-service channels are used as assignment of account-receivable and margin deposits respectively. By leveraging on AIFT advanced data-driven and artificial intelligence technologies, the SaaS platform enables financial institutions in conducting profitable supply chain finance and managing the credit and operational risks effectively.
- Promising market potential: the merchants have huge capital needs, while traditional financial institutions have a low penetration rate of e-commerce loans, and the market prospects are broad.
- Strong development team: it is a team of lending industry experts from finance, supply chain management, technology, industry subject matter experts with rich industry resources.
- High technical barriers: it is equipped with cutting-edge, data-driven, AI-empowered, blockchain and other technical barriers, to establish a digital platform empowering the industry stakeholders.
- Bright commercial prospects: it creates a variety of commercialization pathways by extensive data accumulation, AI algorithms and industry partnership.
